Modern Statistics with R

Autorentext

Måns Thulin is a consultant, researcher, and teacher in Statistics. He started teaching Statistics with R at Uppsala University in 2007, while still an undergraduate student. Since then, he has used Statistics and R to tackle problems in diverse fields, ranging from how to identify nuclear fuel and how to improve milking robots, to wine tastings and designing music videos. His awardwinning research in Statistical Methodology is concerned with modern approaches to classical statistical methods.

Klappentext

The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. Modern Statistics with R introduces you to key parts of this modern statistical toolkit.

Inhalt

1. Introduction 2. The basics 3. The cornerstones of statistics 4. Exploratory data analysis and unsupervised learning 5. Dealing with messy data 6. R programming 7. The role of simulation in modern statistics 8. Regression models 9. Survival analysis and censored data 10. Structural equation models, factor analysis, and mediation 11. Predictive modelling and machine learning 12. Advanced topics 13. Debugging 14. Mathematical appendix Bibliography Index